Fitting 5 folds for each of 720 candidates, totalling 3600 fits
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.6s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.0001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.001, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.005, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.6s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.01, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.015, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=1, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=2, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=3, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=4, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=100; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=3, model__min_child_weight=5, model__n_estimators=200; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=1, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=2, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=3, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=4, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=5, model__min_child_weight=5, model__n_estimators=200; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=2, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=8, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=1, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=10, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=15, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=1, model__n_estimators=200; total time= 0.5s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=2, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=100; total time= 0.2s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=3, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=4, model__n_estimators=200; total time= 0.4s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=20; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=50; total time= 0.0s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=100; total time= 0.1s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s
[CV] END model__learning_rate=0.02, model__max_depth=20, model__min_child_weight=5, model__n_estimators=200; total time= 0.3s